Neural networks for gas turbine fault identification: Multilayer perceptron or radial basis network?

Proceedings of the ASME Turbo Expo

Volumn 3, Issue , 2011, Pages 465-475

  Loboda, Igor ^a   Feldshteyn, Yakov ^b   Ponomaryov, Volodymyr ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b Advanced Application and Research   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARISON RESULT; COMPUTATION TIME; COMPUTER MEMORIES; CONDITION MONITORING SYSTEMS; DIAGNOSTIC ANALYSIS; FAULT IDENTIFICATIONS; GAS PATH; GAS PATH ANALYSIS; INPUT DATAS; MULTI LAYER PERCEPTRON; NETWORK TYPES; PATTERN RECOGNITION TECHNIQUES; PERCEPTRON; RADIAL BASIS NETWORKS; TEST CASE; TESTING PROCEDURE; TRUE POSITIVE RATES;

ALGORITHMS; CONDITION MONITORING; EXHIBITIONS; FEATURE EXTRACTION; GAS TURBINES; INPUT OUTPUT PROGRAMS; NEURAL NETWORKS;

QUALITY CONTROL;

EID: 84865477060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2011-46752     Document Type: Conference Paper

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